Senior Principal Machine Learning Engineer

AUTODESK TLV

United States
Base: $165,000 to $296,450; bonus/equity: annual c...
Fully remote
Distributed deep learning training
Python and pytorch proficiency
Foundation model system optimization
This role is central to Autodesk's strategy of scaling shared foundation models trained on structured Design and Make data

Job Summary

  • This role is central to Autodesk's strategy of scaling shared foundation models trained on structured Design and Make data.
  • The engineer will work at the intersection of research and engineering to build systems that power large-scale training, evaluation, and inference.
  • Autodesk offers a competitive compensation package including base salary, annual cash bonuses, stock grants, and comprehensive benefits.

Matching Summary

This role is central to Autodesk's strategy of scaling shared foundation models trained on structured Design and Make data.

Salary

Base: $165,000 to $296,450; Bonus/Equity: Annual cash bonuses and stock grants included; Benefits: Comprehensive health, financial, and wellness packages

Skills & Requirements

Must-have

  • Distributed deep learning training
  • Python and PyTorch proficiency
  • Foundation model system optimization
  • GPU utilization and memory efficiency
  • Production ML infrastructure deployment

Nice-to-have

  • Experience with CAD or BIM domains
  • Knowledge of RLHF and alignment workflows
  • Familiarity with Ray or Airflow orchestration
  • Background in geometry or graph data
  • Strong cross-team collaboration skills

Key Requirements

  • Bachelor's, Master's, or PhD in Computer Science or related field
  • Deep experience building large-scale ML systems in production
  • Strong software engineering fundamentals in Python

Work Rights

Not specified

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